Data Quality Fundamentals

A Practitioner's Guide to Building Trustworthy Data Pipelines



Bookstore > Books > Data Quality Fundamentals

Price$41.00 - $49.49
Rating
AuthorsBarr Moses, Lior Gavish, Molly Vorwerck
PublisherO'Reilly Media
Published2022
Pages308
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101098112040
ISBN-139781098112042
EBook Hardcover Paperback

Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you.

Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck, from the data observability company Monte Carlo, explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies.




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